69 results about "Breast cancer recurrence" patented technology

A method of providing predicting relapse of breast cancer in bone is conducted by analyzing the expression of a group of genes. Gene expression profiles in a variety of medium such as microarrays are included as are kits that contain them.

The subject disclosure presents systems and computer-implemented methods for assessing a risk of cancer recurrence in a patient based on a holistic integration of large amounts of prognostic information for said patient into a single comparative prognostic dataset. A risk classification system may be trained using the large amounts of information from a cohort of training slides from several patients, along with survival data for said patients. For example, a machine-learning-based binary classifier in the risk classification system may be trained using a set of granular image features computed from a plurality of slides corresponding to several cancer patients whose survival information is known and input into the system. The trained classifier may be used to classify image features from one or more test patients into a low-risk or high-risk group.

The present invention relates to quantitative molecular indicators that can guide clinical decisions in breast cancer, such as estrogen receptor (ESR1)-positive, lymph node-negative breast cancer. In particular, the invention concerns certain genes, the varied expression of which indicates the likelihood of recurrence of surgically resected breast cancer in patients who are not treated with a therapeutic agent in the adjuvant setting. In addition, the invention concerns the use of quantitative measurement of the expression of certain genes, including the ESR1 gene, that measure as a continuous variable, to determine (a) the likelihood of a beneficial response to the anti-estrogen therapeutic agent, such as tamoxifen; and (b) the potential magnitude of beneficial response to chemotherapy.

A method is described for preventing breast cancer recurrence after surgical removal of a breast cancer mass. Specifically, the method is thermal treatment of breast tissue surrounding a cavity after lumpectomy for breast cancer. Delivery of a heated fluid is through a balloon catheter to the cavity generated after lumpectomy with the goal of ablating the surrounding tissue, including transformed cells that were not removed through surgery. A balloon and controller were designed for this application.

The present invention relates to quantitative molecular indicators that can guide clinical decisions in breast cancer, such as estrogen receptor (ESR1)-positive, lymph node-negative breast cancer. In particular, the invention concerns certain genes, the varied expression of which indicates the likelihood of recurrence of surgically resected breast cancer in patients who are not treated with a therapeutic agent in the adjuvant setting. In addition, the invention concerns the use of quantitative measurement of the expression of certain genes, including the ESR1 gene, that measure as a continuous variable, to determine (a) the likelihood of a beneficial response to the anti-estrogen therapeutic agent, such as tamoxifen; and (b) the potential magnitude of beneficial response to chemotherapy.

The invention provides for the identification and use of gene expression profiles, or patterns, with clinical relevance to breast cancer. In particular, the invention provides the identities of genes that are correlated with patient survival and breast cancer recurrence. The gene expression profiles may be embodied in nucleic acid expression, protein expression, or other expression formats and used to predict the survival of subjects afflicted with breast cancer and to predict breast cancer recurrence and. The profiles may also be used in the study and / or diagnosis of breast cancer cells and tissue, including the grading of invasive breast cancer, as well as for the study and / or determination of prognosis of a patient. When used for diagnosis or prognosis, the profiles may be used to determine the treatment of breast cancer based upon the likelihood of life expectancy and recurrence.

The present disclosure relates to compositions and methods for cancer diagnosis, research and therapy, including but not limited to, cancer markers. In particular, the present disclosure relates to gene fusions as diagnostic markers and clinical targets for breast cancer.

The invention relates to a breast cancer recurrent risk assessment 21 gene detection primer and application thereof. The breast cancer recurrent risk assessment 21 gene detection primer comprises a nucleotide sequence as shown in an SEQ ID NO.: 1 to 42, and belongs to the technical field of molecular detection. The detection primer provided by the invention utilizes the advantage of fluorescent quantitation, and adopts fluorescent quantitation polymerase chain reaction to carry out amplification detection on 21 genes for breast cancer recurrent risk assessment, so that whether clinical measurements such as adjuvant chemotherapy are needed or not is considered. A kit provides a PCR (Polymerase Chain Reaction) amplification primer sequence of the 21 genes for breast cancer recurrent risk assessment, and the primer is applicable to detecting ER positive patients, HER2 negative patients, axillary node negative patients, moderately and poorly differentiated patients with the tumor size being 0.6 to 1.0cm and adverse prognostic factors, or patients with the tumor size is larger than 1cm, has the advantages of high sensitivity and specificity, stability, promptness, convenience in operation and the like, can well meet the clinical application of breast cancer recurrent risk assessment, and can be beneficial for reducing invalid medication administration, improving medication administration accuracy, and reducing financial burdens of the patients.

The present invention relates to methods, kits and systems for the prognosis of the disease outcome of breast cancer, said method comprising:(a) determining in a tumor sample from said patient the RNA expression levels of at least 2 of the following 9 genes: UBE2C, BIRC5, RACGAP1, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP(b) mathematically combining expression level values for the genes of the said set which values were determined in the tumor sample to yield a combined score, wherein said combined score is indicative of a prognosis of said patient; and kits and systems for performing said method.

The invention provides a breast cancer prognosis evaluation model and an establishing method thereof. Differentially expressed genes are screened by selecting Chinese population as the research objectand through an RNA-seq method, the genes closely related to recurrence are screened out, and thus the prediction model suitable for the breast cancer recurrence risk of the Chinese population is obtained; and the model comprises the 190 genes which are differentially expressed in recurrence groups and non-recurrence groups and shown in the tablet 1. The model can provide more accurate individualized treatment effect prediction and ten-year recurrence risk prediction for early-stage breast cancer patients of the Chinese population, thus disease progression does not quickly occur in the high-risk population due to the lack of postoperative adjuvant chemotherapy, and the bodies of the low-risk population do not bear unnecessary chemotherapy toxic and side effects due to overtreatment either.

The invention discloses an application of SNHG5 (small nucleolar RNA host gene 5) in diagnosis, evaluation and efficacy prediction of breast cancer. It is found that lncRNA SNHG5 has significant low expression in breast cancer tissue and breast cancer cell lines, knockout of the lncRNA SNHG5 gene can enhance proliferation and migration of breast cancer cells and inhibit apoptosis, and thus, the expression level of long-chain non-coding RNA SNHG5 is closely related with diagnosis, transfer and relapse of tumor, patient prognosis and neoadjuvant chemotherapy effect are closely related, which indicates that the lncRNA SNHG5 gene can be used as a marker for diagnosis, prognosis evaluation or effect prediction. A breast cancer cell model which has low expression of SNHG5 and is established by transfecting breast cancer cell lines with small interference RNA can be used in a preparation method of a preparation for preventing relapse and transfer of breast cancer.

The present invention relates to biomarkers associated with breast cancer prognosis. These biomarkers include coding transcripts and their expression products, as well as non-coding transcripts, and are useful for predicting the likelihood of breast cancer recurrence in a breast cancer patient, The present invention also relates to a novel method of identifying intergenic sequences that correlate with a clinical outcome.

The present invention relates to methods and compositions for the diagnosis, prognosis, and prediction of breast cancer. More specifically, the invention relates to classification of breast cancer tissue samples based on measuring the expression of a set of marker genes. The set is useful for the identification of clinically important breast cancer subtypes. Methods are disclosed for prediction, diagnosis and prognosis of breast cancer.

A monitoring test for recurrent breast cancer with a high degree of sensitivity and specificity is provided that detects the presence of a panel of multiplicity of biomarkers that were identified using metabolite profiling methods. The test is capable of detecting breast cancer recurrence about a years earlier than current available monitoring diagnostic tests. The panel of biomarkers is identified using a combination of nuclear magnetic resonance (NMR) and two dimensional gas chromatography-mass spectrometry (GC×GC-MS) to produce the metabolite profiles of serum samples. The NMR and GC×GC-MS data are analyzed by multivariate statistical methods to compare identified metabolite signals between samples from patients with recurrence of breast cancer and those from patients having no evidence of disease.

The invention discloses a hormone receptor-positive breast cancer recurrence monitoring gene mutation library construction method, which is characterized that the library covers the total 1357 somatic cell mutations on human genes such as KRAS, JAK3, AKT1, CREBBP, PTEN, RB1, TP53, CTNNB1, TSC2, TSC1, ERBB2, PIK3CA, SF3B1, JAK2, CDH1, SMAD4, GATA3, MAP2K4, MAP3K1 and ESR1. According to the present invention, a plurality of the target sequences are subjected to single tube amplification with the construction method to rapidly complete the library construction, wherein the whole library construction process takes only 2-3 h and the manual time only needs 45 min, such that the difficulty that the multi-gene and multi-target detection of somatic cells on the basis of the small amount of the peripheral blood sample is required in the clinical breast cancer recurrence monitoring is required can be effectively solved, and the lost is low.

The invention belongs to the field of biomedicine, relates to a tumor detection kit, and in particular, relates to a detection kit for risk evaluation of breast cancer recurrence. The invention relates to a multi-detection kit for a breast cancer 21 gene; according to the multi-detection kit for the breast cancer 21 gene, provided is a method for multiple detection of the breast cancer 21 gene; the method has the advantages of small used sample size, fast speed, low cost and the like, and is used for serving the majority of breast cancer patients; by early diagnosis and early treatment, required contribution is made for prolonging the life cycle of patients with breast cancer and reducing unnecessary medical expenses.

A genetic biomarker panel is provided for prognosing late onset ER+ breast cancer relapse, in a breast cancer survivor patient. Kits are also provided for measuring levels or the presence of an identified panel of genetic biomarkers. Methods are also provided for identifying a breast cancer survivor patient at a relatively high risk of suffering a breast cancer relapse within 8 years of diagnosis, and therefore suitable for treatment with an aggressive chemotherapeutic regimen. The method may also be used for identifying a breast cancer survivor patient not at high risk of suffering a breast cancer relapse within 8 years of diagnosis, and thus not suitable for treatment with an aggressive chemotherapeutic regimen. The genetic biomarker panel includes an oligonucleotide / nucleic acid sequence specific for the following genes: MKI67, SPAG5, ESPL1, PLK1, or a genetic panel for MKI67, SPAG5, ESPL1, PLK1 and PGR.

The present disclosure is directed to methods of treating and preventing breast cancer or recurrence of breast cancer with compositions comprising anti-progastrin antibodies.

The present invention is in the technical field of breast cancer management, and more particularly relates to the diagnosis and / or prognosing of triple-negative breast cancer (TNBC). The invention is more particularly based on the finding that specific biomarkers are abberantly expressed in patients suffering from a triple-negative breast cancer recurrence, and are highly related to the aggressiveness of this disease, and thus to survival of said patient.

The subject invention provides a use of tibolone and a SERM for the manufacture of a medicine for the treatment of an estrogen-deficiency related complaint and for the prevention of a recurrence of breast cancer in females suffering from, or at risk for breast cancer that exhibit the estrogen-deficiency related complaint.

The invention provides the application of the TCP1 protein in the preparation of a breast cancer postoperative prognosis evaluation kit, a breast cancer prognosis evaluation kit and a method. The present invention uses an immunohistochemical method to detect the relative expression of TCP1 protein in breast cancer tissue, so as to judge the risk of breast cancer recurrence and metastasis in breast cancer patients. The beneficial effects of the present invention are mainly reflected in: the present invention provides the application of TCP1 protein in the preparation of breast cancer postoperative prognosis assessment kit, suggesting that the protein can be used to prepare protein molecular markers for judging the prognosis of breast cancer patients. Postoperative monitoring and sequential treatment also have important guiding significance.

The present invention relates to methods, kits and systems for the prognosis of the disease outcome of breast cancer, said method comprising:(a) determining in a tumor sample from said patient the RNA expression levels of at least 2 of the following 9 genes: UBE2C, BIRC5, RACGAP1, DHCR7, STC2, AZGP1, RBBP8, IL6ST, and MGP(b) mathematically combining expression level values for the genes of the said set which values were determined in the tumor sample to yield a combined score, wherein said combined score is indicative of a prognosis of said patient; and kits and systems for performing said method.

Certain aspects of the present invention relate to new diagnostic and prognostic methods involving DEAR1, a gene is located on the short arm of human chromosome 1. Specifically, analysis of expression or structure of this gene for prognosis or recurrence risk assessment is disclosed.

The present invention relates to biomarkers associated with breast cancer prognosis. These biomarkers include coding transcripts and their expression products, as well as non-coding transcripts, and are useful for predicting the likelihood of breast cancer recurrence in a breast cancer patient, The present invention also relates to a novel method of identifying intergenic sequences that correlate with a clinical outcome.

Provided are methods of determining risk of cancer recurrence in a subject afflicted with breast cancer. Also provided are methods of determining responsiveness to treatment of a subject afflicted with breast cancer. Additionally provided are methods of treating a subject afflicted with breast cancer.

The present disclosure relates to a method of prognosing and predicting breast cancer recurrence in patients, More particularly, the present disclosure relates to a method of prognosing which stratifies early stage ER+ / PR+ and Her2− breast cancer patients with invasive ductal / lobular carcinoma of the breast into low risk or high risk for breast cancer recurrence by employing an IHC based assay which assesses or measures expression of a combination of 5 biomarkers and by employing a histopathological analysis which assesses 3 clinical prognostic parameters. The present disclosure also relates to a combination of 5 biological markers and 3 clinical prognostics markers employed in the method for prognosis of breast cancer, a kit / test comprising the antibodies against said markers for said prognosis and an IHC based assay system comprising said markers.

The invention relates to the field of oncology and cancer treatment. The invention relates to methods for predicting the risk of recurrence of breast tumors using the expression signature of particular miRNAs. Specifically, the invention relates to a method for determining the risk of recurrence of breast cancer which comprises measuring the expression levels of at least one miRNA selected from the group consisting of miR-149-5p (SEQ ID NO: 1), miR-10a-5p, (SEQ ID NO: 2), miR-20b-5p, (SEQ ID NO: 3), miR-30a-3p (SEQ ID NO: 4), and miR-342-5p, (SEQ ID NO: 5) in a sample of the tumor, wherein a change in the expression level of at least one miRNA in the tumor with respect to the expression level in a control sample is indicative of a high risk of recurrence of the tumor. The invention also relates to tools and kits for carrying out the method of the invention.

The subject disclosure presents systems and computer-implemented methods for assessing a risk of cancer recurrence in a patient based on a holistic integration of large amounts of prognostic information for said patient into a single comparative prognostic dataset. A risk classification system may be trained using the large amounts of information from a cohort of training slides from several patients, along with survival data for said patients. For example, a machine-learning-based binary classifier in the risk classification system may be trained using a set of granular image features computed from a plurality of slides corresponding to several cancer patients whose survival information is known and input into the system. The trained classifier may be used to classify image features from one or more test patients into a low-risk or high-risk group.

Methods, systems, and kits for the diagnosis, prognosis, and treatment of breast cancer in a subject are disclosed. The invention also provides biomarkers and clinically useful classifiers for identifying subjects at low risk of breast cancer recurrence who may be spared from adjuvant chemotherapy and endocrine therapy. Further disclosed herein, in certain instances, are probe sets for use in detecting such biomarkers for determining the risk of breast cancer recurrence in a subject. Methods of beating breast cancer based on expression profiling to determine the risk of breast cancer recurrence are also provided.

Methods of determining risk of recurrence of a breast cancer of a subject are provided. Also provided are methods of predicting responsiveness to a therapy of a breast cancer of a subject. Additionally, methods of recommending treatment for a subject that has breast cancer are provided. Further provided are methods of treating a subject that has breast cancer. Systems for performing described methods are also provided.